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Free Webinar Explores How to Optimize ML Model Accuracy in Resource-constrained Embedded Applications

On September 16, 2021 at 9 am PT (noon ET), Jan Jongboom, CTO and co-founder of Edge Impulse, will present the free hour webinar “Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Finding the […]

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“DepthAI: Embedded, Performant Spatial AI and Computer Vision,” a Presentation from Luxonis

Brandon Gilles, CEO of Luxonis, presents the “DepthAI: Embedded, Performant Spatial AI and Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Performant spatial AI and CV enables human-like perception and real-time interaction with the world. But embedding performant spatial AI and CV into actual products is difficult, costly and time-consuming. DepthAI makes building

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“Flexible Machine Learning Solutions with Lattice FPGAs,” a Presentation from Lattice Semiconductor

Sreepada Hegade, Senior Manager for ML Software and Solutions at Lattice Semiconductor, presents the “Flexible Machine Learning Solutions with Lattice FPGAs” tutorial at the May 2021 Embedded Vision Summit. The ability to perform neural network inference in resource-constrained devices is fueling the growth of machine learning at the edge. But application solutions require more than

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“Vision and AI DSPs for Ultra-High-End and Always-On Applications,” a Presentation from Cadence

Pulin Desai, Product Marketing Group Director at Cadence Design Systems, presents the “Vision and AI DSPs for Ultra-High-End and Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. The number and resolution of image sensors continue to increase in mobile, AR/VR, automotive, drone, mobile, and robotics platforms, which also use a mix of other

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Shortcut to Series Production: Modular Maivin i.MX 8M Plus AI Vision Kit from AU-Zone, Toradex and Vision Components

July 28, 2021 – For proof of concept, rapid prototyping and small series production, AU-Zone and Toradex, working in close cooperation with Vision Components, have developed the modular Maivin i.MX 8M Plus AI Vision Kit. The developer kit is based on a Toradex Verdin i.MX 8M Plus System-on-Module and a carrier board, which AU-Zone designed

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“Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications,” a Presentation from Blaize

Dmitry Zakharchenko, Vice President of Research and Product Development at Blaize, presents the “Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Software is becoming the critical differentiator in AI edge app development and adoption. This presentation examines a new approach for enterprises challenged to

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“A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience,” a Presentation from BDTI and Tryolabs

Evan Juras, Computer Vision Engineer at BDTI, and Braulio Ríos, Machine Learning Engineer at Tryolabs, co-present the “A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience” tutorial at the May 2021 Embedded Vision Summit. MaskCam is a prototype reference design for a smart camera that counts the number of

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Free Webinar Explores How to Protect AI Models at the Edge

On September 28, 2021 at 9 am PT (noon ET), Mike Hendrick, Vice President of Engineering, Larry O’Connell, Vice President of Marketing, and Phil Attfield, CEO, all of Sequitur Labs, will present the free hour webinar “Securing Smart Devices: Protecting AI Models at the Edge,” organized by the Edge AI and Vision Alliance. Here’s the

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Maxim Integrated Teams with Xailient to Provide World’s Fastest and Lowest-Power IoT Face Detection

MAX78000 AI microcontroller and Xailient’s Detectum neural network detects and localizes faces in video and images at just 12ms per inference SAN JOSE, Calif., July 27, 2021 /PRNewswire/ — Maxim Integrated Products, Inc. (NASDAQ: MXIM) and Xailient Inc., a company focused on artificial intelligence (AI) for the edge, today announced that Maxim Integrated’s MAX78000 ultra-low

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STMicroelectronics Strengthens Support for Efficient Machine Learning in STM32Cube.AI Ecosystem

Geneva, July 26, 2021 – STMicroelectronics has expanded the variety of machine-learning techniques available to users of the STM32Cube.AI development environment, giving extra flexibility to solve classification, clustering, and novelty-detection challenges as efficiently as possible. In addition to enabling development of neural networks for edge inference on STM32* microcontrollers (MCUs), the latest STM32Cube.AI release (version

STMicroelectronics Strengthens Support for Efficient Machine Learning in STM32Cube.AI Ecosystem Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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